Triple
T21249798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Bernstein – Orchestre National de France |
E523712
|
entity |
| Predicate | associatedNationalityOfOrchestra |
P143381
|
FINISHED |
| Object | French |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: French | Statement: [Leonard Bernstein – Orchestre National de France, associatedNationalityOfOrchestra, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedNationalityOfOrchestra Context triple: [Leonard Bernstein – Orchestre National de France, associatedNationalityOfOrchestra, French]
-
A.
associatedComposerNationality
Indicates that there is a relationship between a composer and a specific nationality with which that composer is identified or associated.
-
B.
hasOrchestraType
Indicates that an entity is associated with, or classified by, a specific type or category of orchestra.
-
C.
nationalityInOpera
Indicates that an opera character or figure is portrayed as having a particular nationality within the context of the opera.
-
D.
performerBandMembersNationality
Indicates that the band members of a musical performer share a specified nationality.
-
E.
partOfArtistNationalityContext
Indicates that something functions as a component or aspect of the broader contextual framework surrounding an artist’s nationality.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359da6e08190a96c471463c2388d |
completed | April 21, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f9943ed881909ef49045c5bcf6df |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3:56 p.m.